Misogyny on Twitter By: Li Tong

Background Twitter provides a platform for free speech Misogyny is the prejudice against women.

Data Data collection: twitter API stored on servers at Oxford Internet Institute (OII). key words: *****, *****, ****, ***** map of tweets

Map of Tweet

The misogynic tweets distribution

The misogynic tweets distribution

Method The points do not contain the attribute value. Creating the grid by overlaying the hex-bin layer and point layer Then counting the number of point in each hex-bin Study area: New York State

Method Whether or not there is cluster occurring in the study area? Global Moran’s I Where is the cluster? Determine the scale Find out the minimum, maximum, and average distance between the polygons Execute incremental spatial autocorrelation Figure out the bandwidth based on the Z score Local statistic Local Moran’s I

Method Two ways to determine the weight Compare with the two results Fixed Bandwidth Contiguity edged only Compare with the two results Figure out how scale influences the results

Results for 2000 km2 The minimum, the maximum, and the average distance to the specified Nth nearest neighbor (N = 1) Minimum Distance 24.352(km) Average 38.411(km) Maximum 56.066(km)

Results for 2000 km2 Spatial Autocorrelation by Distance

Results for 2000 km2 Global Moran’s I Summary by Distance

Result for 2000km2 Fixed bandwidth

Result for 2000 km2 Contiguity Edged Only

Results for 2000 km2 The outlier (the blue area) is not shown on the result with fixed bandwidth because the difference between area covered by the hex- bin and circle. The contiguity edged area is better for this case

BUT!!

The results in other scales The result of 1000 km2

The results in other scales The result of 500 km2

The results in other scales The result of 200 km2

The results in other scales The result of 100 km2

Discussion The scale of the hex-bins influences the result. More clusters are shown in the smaller scale.

Question Please!!! NO

Question Please!!!